Empower Stripe’s financial integrity as a Data Scientist on the Fraud team. Utilize your expertise in statistical modeling and machine learning to prevent fraud and protect users.

Join Stripe’s Fraud, Losses, and Financial Crime Data Science team to develop impactful models and data products. Leverage your analytical skills to improve fraud detection and loss management workflows while providing crucial insights. This role necessitates a cooperative effort with various teams to translate research into actionable solutions.

Key Responsibilities:
• Enhance fraud detection models using machine learning
• Collaborate with Fraud Engineering for production deployment
• Analyze data to drive business fraud strategy




• Manage multiple projects with meticulous attention to detail
• Communicate results effectively to stakeholders

Requirements:
• BS/BA with 4-8 years, or MS/MA/PhD with relevant experience
• Experience in Fraud, Risk, or Financial crimes domains
• Proficiency in SQL and a programming language
• Strong analytical and communication skills
• Capability to synthesize complex data into decisions

Drive impact on global payments at Stripe with cutting-edge data-driven solutions.
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📌 Data Scientist for Fraud Prevention (Ontario)
🏢 Stripe
📍 Ontario